Diakonikolas, Ilias (University of Wisconsin-Madison), Kane, Daniel M. (University of California
Description
This reference text offers a clear unified treatment for graduate students, academic researchers, and professionals interested in understanding and developing statistical procedures for high-dimensional data that are robust to idealized modeling assumptions, including robustness to model misspecification and to adversarial outliers in the dataset.
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